Kopai
Kopai is a serverless cloud and marketplace for domain-specialized AI agents. It lets experts and teams build agents from prompts and their own knowledge, host them without managing infrastructure, publish them for per-message payment, and use them internally or through an API.
At a Glance
- Domain experts, consultants and coaches
- Creators who want to monetize specialized knowledge
- Startups and developers shipping AI features
- Small and mid-sized teams needing internal agents
- +2 more
AI Tools by Kopai
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Kopai
Serverless AI Agent Builder Platform
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Latest News
Kopai launches on Product Hunt as “The Cloud for AI Agents,” expanding its positioning to agent creation, hosting, distribution and monetization.
Kopai ProductWatch launch listing published; the listing identifies Meghna Bharadwaj, Swapnanil Ray and Surya Sekhar Datta as makers.
Kopai's first Product Hunt launch presents the product as a way to share expertise and let agents earn through per-message usage.
Kopai's platform page details its eight-step build flow, evaluation gate, model gateway, indexed files, message billing and planned export/SDK capability.
Products & Services
No-code workflow for configuring an agent's instructions, model, knowledge base, tools and subagents; Kopai hosts the runtime, model gateway, retrieval, streaming and billing.
Public marketplace where creators publish evaluated specialized agents, set a per-message markup and earn from usage.
Organization workspaces with roles, shared knowledge libraries, private agents, analytics, wallets and optional publishing.
Planned native and OpenAI-compatible API export with streaming, allowing an agent to run inside another product while Kopai continues handling metering and billing.
Market Position
Kopai positions itself between no-code chatbot builders and full AI infrastructure platforms: it combines agent configuration, RAG, orchestration, evaluation/certification, hosting, marketplace discovery, usage billing and creator payouts in one product. Its differentiator is the pay-per-message marketplace and revenue-sharing model for domain expertise, plus a quality gate before agents can be listed. Alternatives mentioned or implied by public product discussions include custom GPTs and generic agent builders; the platform also overlaps with agent-infrastructure products such as LangChain-based stacks.
Leadership
Founders
Swapnanil Ray
Founder of Kopai and co-founder/CTO of Renben Technologies; LinkedIn search results also describe prior work as a senior software engineer at the Asian Development Bank. SaaSHive describes him as a two-time founder.
Meghna Bharadwaj
Co-founder of Kopai and co-founder of Renben Technologies. Her public profile describes her as a technical founder with an MSCS from Georgia Tech, working across architecture, security, payments, distributed systems, product, sales and storytelling.
Surya Sekhar Datta
Founder/maker of Kopai and founding engineer at Renben Technologies; public LinkedIn search results describe prior consulting software-engineering work.
Executive Team
Swapnanil Ray
Founder
Co-founder/CTO of Renben Technologies and previously described publicly as a senior software engineer at the Asian Development Bank; also described as a two-time founder.
Meghna Bharadwaj
Co-founder
Technical founder and co-founder of Renben Technologies with an MSCS from Georgia Tech; works across systems architecture, security, payments, distributed systems and product.
Founding Story
Kopai began as a marketplace idea: let people publish expertise as an agent that others pay to talk to, rather than selling that expertise one meeting at a time. It expanded into the underlying infrastructure—agent orchestration, RAG, evaluation, hosting, billing, analytics and marketplace distribution—so creators do not need to build a backend before monetizing domain knowledge.
Business Model
Revenue Model
Kopai charges for workspace plans and runtime usage. Users spend credits per message; published-agent users pay the underlying runtime cost plus the publisher's markup, while Kopai handles billing and retains an infrastructure share. Publishers keep 70% of their markup/earnings according to Kopai's site and Product Hunt description.
Pricing Tiers
For organizations starting agents; includes up to 2 members, 10 files per agent, 20 MB shared library, 3 connectors per agent and 2 subagents per agent.
Up to 5 members, 150 monthly wallet credits, unlimited files per agent, 150 MB shared library, Test Bench and image models, analytics, organization API keys, 6 connectors and 5 subagents per agent.
Unlimited members, files and storage, priority support, custom SAML/SSO, custom solutions/connectors and custom limits.
Consumer/agent-user plans provide 240, 625 or 1,300 credits respectively; unused credits roll over.
One-off credit purchases provide 50, 200 or 500 credits; auto-reload gives 10% more credits.
Target Markets
- Domain experts, consultants and coaches
- Creators who want to monetize specialized knowledge
- Startups and developers shipping AI features
- Small and mid-sized teams needing internal agents
- Enterprise organizations with private knowledge bases and governed access
- Users seeking specialized pay-per-use AI assistance
- Data analysis and research
- Document generation and document-grounded question answering
- Internal company workflows and policy assistants
- Legal case preparation and legal research
- Software engineering and code review
- Sales prospecting and client acquisition